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All-sky Information Content Analysis for Novel Passive Microwave Instruments in the Range from 23.8 GHz up to 874.4 GHz

机译:新型无源微波仪器在23.8 GHz至874.4 GHz范围内的全天候信息内容分析

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摘要

We perform an all-sky information content analysis for channels in the millimeter/submillimeter wavelength with 24 channels in the region from 23.8 up to 874.4 GHz. Our set of channels corresponds to the instruments ISMAR and MARSS, which are available on the British FAAM research aircraft, and it is complemented by two precipitation channels at low frequencies from Deimos. The channels also cover ICI, which will be part of the MetOp-SG mission. We use simulated atmospheres from the ICON model as basis for the study and quantify the information content with the reduction of degrees of freedom (ΔDOF). The required Jacobians are calculated with the radiative transfer model ARTS. Specifically we focus on the dependence of the information content on the atmospheric composition. In general we find a high information content for the frozen hydrometeors, which mainly comes from the higher channels beyond 183.31 GHz (on average 4.99 for cloud ice and 4.84 for snow). Profile retrievals may be possible for the mass densities and some information about the microphysical properties, especially for cloud ice, can be gained. The information about the liquid hydrometeors comes from the lower channels and is comparably low (2.36 for liquid cloud water and 1.81 for rain). There is little information about the profile or the microphysical properties. The Jacobians for a specific cloud hydrometeor strongly depend on the atmospheric composition. Especially for the liquid hydrometeors they even change sign in some cases. However, the information content is robust. For liquid hydrometeors it slightly decreases in the presence of any frozen hydrometeor, for the frozen hydrometeors it slightly decreases in the presence of the respective other frozen hydrometeor. The overall results with regard to the frozen hydrometeors in principlealso hold for the ICI sensor. This points to its great ability to observe ice clouds from space on a global scale with a good spatial coverage in unprecedented detail.
机译:我们对毫米/亚毫米波长的信道(从23.8到874.4 GHz范围内的24个信道)执行全天候信息内容分析。我们的通道组对应于英国FAAM研究飞机上可用的ISMAR和MARSS仪器,并由Deimos的两个低频降水通道进行了补充。这些频道还涵盖ICI,这将是MetOp-SG任务的一部分。我们使用来自ICON模型的模拟大气作为研究的基础,并通过减少自由度(ΔDOF)来量化信息内容。所需的雅可比矩阵是用辐射传递模型ARTS计算的。具体来说,我们专注于信息内容对大气成分的依赖性。总的来说,我们发现冷冻水凝物的信息含量很高,这主要来自超过183.31 GHz的较高通道(云冰平均为4.99,雪平均为4.84)。对于质量密度,轮廓检索可能是可能的,并且可以获得有关微物理特性(尤其是对于云冰)的某些信息。有关液态水凝物的信息来自较低的渠道,相对较低(液态云水为2.36,雨水为1.81)。关于轮廓或微物理性质的信息很少。特定的云水凝物的雅可比定律在很大程度上取决于大气成分。特别是对于液体水凝物,它们在某些情况下甚至会改变符号。但是,信息内容是可靠的。对于液态水凝结物,在任何冷冻水凝结物的存在下,它略有降低,对于冷冻水凝结物,在相应的其他冷冻水凝结物的存在下,它略有降低。原则上,有关冷冻水凝物的总体结果也适用于ICI传感器。这表明它具有强大的能力,可以在全球范围内以前所未有的细节在良好的空间覆盖范围内从太空观测冰云。

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